Product Manager - Business Model Strategy AdobeProduct Manager - Business Model StrategySan Francisco, CaliforniaAdobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. This particular role will focus on opportunities within the Firefly Enterprise (FFE) portfolio of products, which focuses on providing enterprises creative workflow automation and brand management solutions which leverage innovative GenAi and agentic solutions and deploy novel revenue models.
Building the Experimental Engine for Models of Life InceptiveBuilding the Experimental Engine for Models of LifePalo Alto, CaliforniaOur team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields. We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations.
Member of Technical Staff - Model Training SpaceXAIMember of Technical Staff - Model TrainingPalo Alto, CA$180,000–$600,000 / yearIf you previously trained models used by millions of people it's a big plus, but modeling experience is not required. SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.
ML Research Engineer, Foundation Models (Senior / Staff / Principal) Genesis Molecular AIML Research Engineer, Foundation Models (Senior / Staff / Principal)San MateoOur generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Bridge machine learning research and computational chemistry workflows , working closely with computational chemists, structural biologists, and medicinal chemists to ensure models translate effectively into real drug discovery programs.
Senior Software Engineer - Model Performance InferenceSenior Software Engineer - Model PerformanceSan Francisco, CaliforniaYour work spans from implementing known optimization techniques to experimenting with novel approaches, always with the goal of serving models faster and cheaper at scale. If you love squeezing every last drop of performance out of GPUs, diving deep into CUDA kernels, and turning optimization techniques into production systems, we'd love to meet you.
Machine Learning: Multimodal Foundation Models The Bot CompanyMachine Learning: Multimodal Foundation ModelsSan Francisco, CaliforniaImprove Cross-Modal Reasoning: Research and implement methods to ensure the model doesn't just "associate" modalities but actually reasons through them (e.g., grounding visual physics in kinematic constraints). Ship and Iterate on Real Systems: Integrate models into real robotic stacks, build on robot code to deploy your models, and optimize performance for edge inference.
Applied Research Scientist - Foundation Models Ambient.aiApplied Research Scientist - Foundation ModelsRedwood City, CaliforniaPowered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. The momentum speaks for itself: we doubled new ARR in FY26, we process 200M+ video hours per day, and have delivered results for world-class customers including Cisco, ServiceNow, SentinelOne, TikTok, Bayer, and MoMA.
Product Designer, AI Models FIGMAProduct Designer, AI ModelsSan Francisco, CA$169,000–$303,000 / yearJob level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off.
Research Scientist (Model Evaluation) SanasResearch Scientist (Model Evaluation)Palo Alto, CaliforniaDevelop reference-based and reference-free metrics calibrated to Sanas's specific model tasks: SI-SDR, PESQ, STOI, DNSMOS, speaker similarity, WER delta, COMET, and task-specific custom metrics where off-the-shelf measures fall short. Deep familiarity with speech and audio quality metrics — perceptual (MOS, MUSHRA, PESQ, STOI), signal-level (SI-SDR, SNR), and task-specific (WER, speaker similarity, DNSMOS) — and an understanding of when each is and isn't the right tool.
Robotic AI Engineer/Applied Scientist - Foundation Models Maven RoboticsRobotic AI Engineer/Applied Scientist - Foundation ModelsSan Francisco, CaliforniaMaster Data Efficiency: Develop novel co-training strategies and efficient learning algorithms that leverage diverse data sources—from Internet-scale video to sparse, high-fidelity human interventions. You are not expected to be a master of every domain listed below; however, you must be able to justify world-class excellence in at least one core factor (e.g., model architecture, RL formulations, or high-scale data systems).
Software Engineer - Voice Model SpaceXAISoftware Engineer - Voice ModelPalo Alto, CA$150,000–$450,000 / yearWork on pre-training and post-training of speech-language models, with targeted enhancements through supervised fine-tuning, reinforcement learning, and other techniques to ensure Grok Voice responses are accurate, factually grounded, natural and idiomatic in spoken style, conversational in tone, and fluent across multiple languages. Build and iterate a comprehensive evaluation framework covering objective metrics (accuracy, quality, latency, expressiveness), human preference studies, content factuality assessments, real-time interaction quality, and experimentation infrastructure to measure and improve performance.
Machine Learning Researcher / Engineer (Foundational Models) PathwayMachine Learning Researcher / Engineer (Foundational Models)Palo Alto, CARemotePathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI’s reasoning models.
Manager, Multi-Modal Language Action Models ZooxManager, Multi-Modal Language Action ModelsFoster City, CAZoox is seeking an experienced Manager of Multi-Modal Language Action Models to lead a team focused on applying cutting-edge Large Multi-Modal Models (MLLMs) to solve concrete, offline autonomy problems. Proven track record of deploying ML/MLLM models to production or internal customers to solve complex, real-world problems, ideally within the autonomy or robotics domain.
Senior Applied Scientist, Efficient LLM Inference & Model Optimization NebiusSenior Applied Scientist, Efficient LLM Inference & Model OptimizationPalo Alto, California$195,200–$262,200 / yearInvent, evaluate, and productionize methods for quantization, QAT, distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build high-quality prototypes in PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, then work with MLEs and platform engineers to productionize them.
Machine Learning Researcher / Engineer (Foundation Models) PathwayMachine Learning Researcher / Engineer (Foundation Models)Palo Alto, CARemotePathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI’s reasoning models.
Engineering Manager, Model Inference AbridgeEngineering Manager, Model InferenceSan Francisco, CaliforniaYou’ll lead a high-performing team of AI inference engineers, partner closely with ML Research and the broader AI Platform, and ensure the systems underpinning every clinician interaction are operating at peak efficiency and reliability. The Inference team owns the end-to-end technical direction of how our models are served: from architecting low-latency, high-throughput infrastructure to pushing the frontier of LLM serving techniques.
Member of Research Staff (Machine Learning for Neural Circuit Modeling Postdoc) EpistemeMember of Research Staff (Machine Learning for Neural Circuit Modeling Postdoc)San Francisco, California$120,000–$140,000 / yearWorking closely with both computational and experimental scientists, you will develop and deploy machine learning models for imaging data, neural activity traces, and predictive and causal modeling of neural circuits. Explore advanced deep learning methods (e.g., symbolic regression, GNNs, Transformers, generative models) to inform neural models from data and enhance interpretability.
M&A Tax Manager - Partnership Consulting & Modeling Baker Tilly Advisory Group, LPM&A Tax Manager - Partnership Consulting & ModelingWalnut Creek, CaliforniaBaker Tilly Advisory Group, LP and Baker Tilly US, LLP, trading as Baker Tilly, are independent members of Baker Tilly International, a worldwide network of independent accounting and business advisory firms in 141 territories, with 43,000 professionals and a combined worldwide revenue of $5.2 billion. Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world's leading financial centers - New York, London, San Francisco, Los Angeles, Chicago and Boston.
Senior Staff Software Engineer, AI Model Lifecycle Crusoe EnergySenior Staff Software Engineer, AI Model LifecycleSan Francisco, CA$237,600–$318,240 / yearAbout This Role: The Senior Staff Software Engineer for the AI Model Lifecycle team will play a crucial role in building a comprehensive managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Language Models (LLMs). We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
Scientist /Senior Scientist, Multimodal & Relational Machine Learning Foundation Models Altos LabsScientist /Senior Scientist, Multimodal & Relational Machine Learning Foundation ModelsSan Francisco, CA$200,900–$257,500 / yearArchitect and implement novel hybrid models that integrate Large Language Models (LLMs) with Graph Neural Networks (GNNs) for multi-hop reasoning over biological knowledge graphs. Lead the design of efficient data loading strategies and distributed training recipes (e.g., FSDP, DeepSpeed) to train models across multiple GPU nodes.